基于遗传算法的平流层飞艇航迹规划方法研究  

The Research of Route Planning for Stratospheric Airships Based on Genetic Algorithms

作　　者：吴雷[1,2] 李勇[3] 李智斌[1,2] 

机构地区：[1]北京控制工程研究所,北京100190 [2]空间智能控制技术重点实验室,北京100190 [3]中国空间技术研究院,北京100094

出　　处：《航天返回与遥感》2011年第1期1-6,共6页Spacecraft Recovery & Remote Sensing

基　　金：国家自然科学基金(11072028)资助项目

摘　　要：文章针对平流层飞艇驻空阶段航迹规划问题进行研究和仿真分析。考虑平流层飞艇自身飞行的特点,建立其运动学方程和风场模型,并在适当假设基础上,构造能够反映其飞行能耗的代价函数。最后采用遗传算法进行算例计算,求解平流层飞艇最优轨迹。仿真结果表明,遗传算法能够有效、快速地收敛并稳定至问题的最优解;其所构造的代价函数能够反映飞艇自身飞行特点,并敏感于外界风场环境。Research and simulation analysis of route planning of stratospheric airships were carried out in the paper.Firstly,considering the stratospheric airship＇ s flight characteristics,its motion equations and wind models were established.Then a cost function of the airship flight energy consumption was formulated based on proper assumptions.Finally,the approach of genetic algorithm was presented for searching optimal route.The example numerical simulations showed that the genetic algorithm was able to quickly,stably converge to the optimal solution,and it was an effective approach for solving this kind of problem;the cost function made in this paper could reflect airship＇ s flight characteristics and it was sensitive to the wind environment.

关 键 词：平流层飞艇 遗传算法 航迹规划 代价函数 

分 类 号：V274[航空宇航科学与技术—飞行器设计]